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the required sample size needed to be able to estimate the mean dollars that each card holder will spend each month. It would like to be within plus or minus $55 of the true mean with a 95% confidence level. The standard deviation is thought to be $700. How many card holders should be sampled?
A researcher wishes to estimate the number of households with two cars. How large a sample is needed in order to be 95% confident that the sample proportion will not differ from the true proportion by more than 4%? A previous study indicates that ..
Use the following data to write the normal equations of the linear regression between Y and X, and find the least squares regression.
You will actually have negative sales using this multiple regression analysis
The smallest defect in a computer chip will render the entire chip worthless. Therefore, tight quality control measures must be established to monitor the chips.
Predict with 95% confidence the test score at a school where 50% of the mathematics teachers have mathematics degrees, the mean age is 43, and the mean annual income is $48,30.
If a manager wishes to develop a confidence interval estimate for estimating the difference between two population means, an increase in the size of the samples used will result in:
A shipment of 150 television sets contains three defective units. In how many ways can a vending company buy three of these units and receive (a) no defective units, (b) one defective unit, and (c) at least two good units?
What happens to the confidence interval and the power of the test at a particular point of interest. As one increases the sample size of a test, all else remaining the same.
Determine odds student gets more than 14 questions correct? Determine the odds student gets exactly 12 questions correct?
The average salary of managers in the advertising industry is $180,000 per year. Suppose we would like to take a sample of managers at a new company ABC
Nationwide, GMAT scores in a particular year had an average of 528 with an SD of 112 and the scores roughly followed a normal curve. If a student scored 600 on the exam, approximately what percentage of test-takers scored below this student?
Can we conclude that there is a difference in number of citations written between the officers? Use the 0.05 level of significance.
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